Exploring SETAC's roles in the global dialogue on sustainability—an opening debate
Bibliographic record
Abstract
A combination platform-debate session was held at the Society of Environmental Toxicology and Chemistry (SETAC) North America annual meeting in Boston (November 2011). The session was organized by members of the Advisory Group on Sustainability, newly formed and approved as a global entity by the SETAC World Council just prior to the meeting. The platform portion of the session provided a historical backdrop for the debate that was designed to explore SETAC's role in the sustainability dialogue. The debate portion presented arguments for and against the proposition that "Science is the primary contribution of SETAC to the global dialogue on sustainability." Although the debate was not designed to achieve a definitive sustainability policy for SETAC, the audience clearly rejected the proposition, indicating a desire from the SETAC membership for an expanded role in global sustainability forums. This commentary details the key elements of the session, identifies the contribution the Advisory Group will have at the World Congress in Berlin (May 2012), and invites interested persons to become active in the Advisory Group.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".